Morphable models is a statistical framework for representing the shape and appearance variability of objects or structures within a population, learned from a dataset of examples. By capturing the principal modes of variation, this approach enables the generation and manipulation of novel instances through parameter control, facilitating tasks such as 3D reconstruction, synthesis, and analysis from observed data.